SiD Workshop RAL Apr Nigel Watson Birmingham University. Overview Testing Summary

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MAPS ECAL SiD Workshop RAL 14-16 Apr 2008 Nigel Watson Birmingham University Overview

Turchetta, M.Tyndel, E.G.Villani (STFC-RAL) J.A.Ballin, P.D.Dauncey, A.-M.Magnan, M.

1 MAPS ECAL SiD Workshop RAL Apr 2008 Nigel Watson Birmingham University Overview Testing Summary For the CALICE MAPS group J.P.Crooks, M.M.Stanitzki, K.D.Stefanov, R.Turchetta, M.Tyndel, E.G.Villani (STFC-RAL) J.A.Ballin, P.D.Dauncey, A.-M.Magnan, M.Noy (Imperial) Y.Mikami, T.Martin, O.D.Miller, V.Rajovic, NKW, J.A.Wilson (Birmingham)

2 MAPS ECAL: basic concept Swap ~0.5x0.5 cm 2 Si pads with small pixels Small := at most one particle/pixel 1-bit ADC/pixel, i.e. Digital ECAL How small? EM shower core density at 500GeV is ~100/mm 2 Pixels must be< µm 2 Our baseline is 50 50µm 2 Gives ~10 12 pixels for ECAL Tera-pixel APS Weighted no. pixels/ev vent Effect of pixel size 50µm 100µm >1 particle/ pixel Incoming photon energy (GeV) SiD Workshop, RAL, 15-Apr

TPAC1 overview 8.2 million transistors Logic/SRAM columns 28224 pixels; 50 µm; 4 variants Sensitive area 79.

timestamps Local SRAM 11% deadspace for readout/logic Data readout Slow (<5 MHz) train buffer Current sense

3 TPAC1 overview 8.2 million transistors Logic/SRAM columns pixels; 50 µm; 4 variants Sensitive area 79.4mm 2 Region Four columns of logic+sram Logic columns serve 42 pixel region Hit locations & (13 bit) timestamps Local SRAM 11% deadspace for readout/logic Data readout Slow (<5 MHz) train buffer Current sense amplifiers Column multiplex 30 bit parallel data output Group (region=7 groups of 6 pixels) SiD Workshop, RAL, 15-Apr

4 TPAC1 overview 8.2 million transistors Logic/SRAM columns pixels; 50 µm; 4 variants Sensitive area 79.4mm 2 Region Four columns of logic+sram Logic columns serve 42 pixel region Hit locations & (13 bit) timestamps Local SRAM 11% deadspace for readout/logic Data readout Slow (<5 MHz) train buffer Current sense amplifiers Column multiplex 30 bit parallel data output Group (region=7 groups of 6 pixels) SiD Workshop, RAL, 15-Apr

Beam background Beam-beam interaction by GUINEAPIG LDC01sc (Mokka) 2 machine scenarios : 500 GeV baseline, 1 TeV high luminosity Repeat in SiD01, verify

5 Beam background Beam-beam interaction by GUINEAPIG LDC01sc (Mokka) 2 machine scenarios : 500 GeV baseline, 1 TeV high luminosity Repeat in SiD01, verify optimisation purple = innermost endcap radius 500 ns reset time Ł ~ 2 inactive pixels y (mm) 1TeV high lumi ECAL endcap hits X (mm) SiD Workshop, RAL, 15-Apr [O.Miller]

6 Progress with sensor tests Work ongoing to test unformity of threshold and gain Report today on testbeam SiD Workshop, RAL, 15-Apr

7 MAPS testbeam Desy Dec (or + 9 months) Extremely tight schedule 4 sensors, PMT pair 3, 6 GeV e - With/without W pre-shower material Threshold scans Design allows to cope with pixel-to-pixel variations Foreseen to calibrate channel-bychannel (no built in calib n. ) As we had Moderate pixel-pixel variations Insufficient time before beam test Forced to set high threshold to keep noise/rate acceptable for reliable operation Ran without problems for whole run Will not quote efficiency today SiD Workshop, RAL, 15-Apr

8 USB_DAQ crate SiD Workshop, RAL, 15-Apr

9 Experimental area SiD Workshop, RAL, 15-Apr

10 PMT trigger SiD Workshop, RAL, 15-Apr

11 Sensor setup in testbeam SiD Workshop, RAL, 15-Apr

12 Concentrate on shapers Concentrate on a single pixel variant Like-with-like comparison Two overlapping layers SiD Workshop, RAL, 15-Apr

13 Strategy Want to start with the highest purity sample we can Scintillators behaviour not optimal Ensure sensor hits genuine Use clusters of hits initially, not single pixels Can we match clusters between sensors? SiD Workshop, RAL, 15-Apr

14 Clustering SiD Workshop, RAL, 15-Apr

Clusters uniform in timestamp within train Indicates

15 Timestamp within train Sensor #2 Sensor #8 Timestamp (of 8k) Timestamp (of 8k) Basic data validity check Clusters uniform in timestamp within train Indicates buffers not saturating SiD Workshop, RAL, 15-Apr

16 Layer-layer correlations: x SiD Workshop, RAL, 15-Apr

17 Layer-layer correlations: y SiD Workshop, RAL, 15-Apr

18 Layer-layer alignment SiD Workshop, RAL, 15-Apr

19 Summary MAPS ECAL: alternative to baseline design (analogue SiW) Multi-vendors, cost/performance gains New INMAPS deep p-well process (optimise charge collection) Four architectures for sensor on first chips Tests of sensor performance ongoing Physics benchmark studies to evaluate performance relative to standard analogue Si-W designs for SiD (also ILD) Future plans Recognised as generic sensor technology with generic applications Much interest to continue development of concept for ECAL Including for SiD Systematic studies of pixel to pixel gain and threshold variations Absolute gain calibration Second sensor SiD Workshop, RAL, 15-Apr

20 Backup/spares SiD Workshop, RAL, 15-Apr

21 Tracking calorimeter ZOOM µm 2 MAPS pixels SiD 16mm 2 area cells SiD Workshop, RAL, 15-Apr

18µm feature size INMAPS process: deep p-well implant 1 µm thick under

22 CALICE INMAPS TPAC1 First round, four architectures/chip (common comparator+readout logic) 0.18µm feature size INMAPS process: deep p-well implant 1 µm thick under electronics n-well, improves charge collection 4 diodes Ø 1.8 µm Architecture-specific analogue circuitry SiD Workshop, RAL, 15-Apr

23 Device level simulation Physics data rate low noise dominates Optimised diode for Signal over noise ratio Worst case scenario charge collection Collection time Signal/noise 0.9 µm 1.8 µm 3.6 µm Signal/Noise SiD Workshop, RAL, 15-Apr Distance to diode (charge injection point)

24 Attention to detail 1: digitisation Digital ECAL, essential to simulate charge diffusion, noise, in G4 simulations [J.Ballin/A-M.Magnan] SiD Workshop, RAL, 15-Apr

25 System considerations A Tera-Pixel ECAL is challenging Benefits No readout chips CMOS is well-known and readily available Ability to make thin layers Current sources of concern DAQ needs Power consumption/cooling SiD Workshop, RAL, 15-Apr

26 DAQ requirements O(10 12 ) channels are a lot... Physics rate is not the limiting factor Beam background and Noise will dominate Assuming 2625 bunches and 32 bits per Hit 10 6 Noise hits per bunch ~O(1000) Hits from Beam background per bunch (estimated from GuineaPIG) Per bunch train ~80 Gigabit / 10 Gigabyte Readout speed required 400 Gigabit/s CDF SVX-II can do 144 Gigabit/s already SiD Workshop, RAL, 15-Apr

27 Cooling and power Cooling for the ECAL is a general issue Power Savings due to Duty Cycle (1%) Target Value for existing ECAL ASICS 4 µw/mm2 Current Consumption of MAPS ECAL: 40 µw/mm2 depending on pixel architecture TPAC1 not optimized at all for power consumption Compared to analog pad ECAL Factor 1000 more Channels Factor 10 more power Advantage: Heat load is spread evenly SiD Workshop, RAL, 15-Apr

28 Thermal properties [Marcel Stanitzki] SiD Workshop, RAL, 15-Apr

Physics simulation MAPS geometry implemented in Geant4 detector model

Definition of energy: E α N pixels Artefact of MIPS crossing boundaries

important for binary readout Geant4 energy of simulated hits E hit (kev)

29 Physics simulation MAPS geometry implemented in Geant4 detector model (Mokka) for LDC detector concept Peak of MIP Landau stable with energy Definition of energy: E α N pixels Artefact of MIPS crossing boundaries Correct by clustering algorithm Optimal threshold (and uniformity/stability) important for binary readout Geant4 energy of simulated hits E hit (kev) σ(e)/e 20 GeV photons E hit (kev) Threshold (kev) SiD Workshop, RAL, 15-Apr E hit (kev)

30 The CALICE TPAC1 50x50 µm cell size Comparator per pixel Capability to mask individual pixels 4 Diodes for ~uniform response w.r.t threshold 13 bit time stamp (>8k bunches individually tagged) Hit buffering for entire bunch train (~ILC occupancy) Threshold adjustment for each pixel Usage of INMAPS (deep-p well) process [Marcel Stanitzki] SiD Workshop, RAL, 15-Apr

A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC

A MAPS-based readout for a Tera-Pixel electromagnetic calorimeter at the ILC STFC-Rutherford Appleton Laboratory Y. Mikami, O. Miller, V. Rajovic, N.K. Watson, J.A. Wilson University of Birmingham J.A.